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Offline Signature Verification: An Approach Based on Score Level Fusion

by H.N. Prakash, D. S. Guru
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 18
Year of Publication: 2010
Authors: H.N. Prakash, D. S. Guru
10.5120/383-573

H.N. Prakash, D. S. Guru . Offline Signature Verification: An Approach Based on Score Level Fusion. International Journal of Computer Applications. 1, 18 ( February 2010), 52-58. DOI=10.5120/383-573

@article{ 10.5120/383-573,
author = { H.N. Prakash, D. S. Guru },
title = { Offline Signature Verification: An Approach Based on Score Level Fusion },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 18 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 52-58 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number18/383-573/ },
doi = { 10.5120/383-573 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:42.698774+05:30
%A H.N. Prakash
%A D. S. Guru
%T Offline Signature Verification: An Approach Based on Score Level Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 18
%P 52-58
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a new approach for offline signature verification based on score level fusion of distance and orientation features of centroids. The proposed method employs symbolic representation of offline signatures using bi-interval valued feature vector. Distance and orientation features of centroids of offline signatures are used to form bi-interval valued symbolic feature vector for representing signatures. A method of offline signature verification based on the bi-interval valued symbolic representation is presented. Several experiments are conducted on MCYT_ signature database [1] of 2250 signatures to demonstrate the efficacy of the proposed approach based score level fusion for offline signature verification.

References
  1. Ortega-Garcia J., J. Fierrez-Aguliar and D. Simon, 2003. MCYT baseline corpus: A bimodal database. IEE proceedings Vision, Image and Signal Processing, pp. 395-401.
  2. Dimauro G., S. Impedovo, M.G. Lucchese, R. Modugno and G. Pirlo, 2004. Recent advancement in automatic signature verification. Proceedings of 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp. 179-184.
  3. Bajaj R and Chaudhary S., 1997. Signature verification using multiple neural classifiers. Pattern Recognition, vol. 30, pp. 1-87.
  4. Shankar A.P and A. N. Rajagopalan, 2007. Offline signature verification using DTW. Pattern Recognition Letters, vol. 28, pp. 1407-1414.
  5. Justino E.J.R, F. Bortolazzi and R. Sabourin. 2005. A comparison of SVM and HMM classifiers in the offline signature verifications. Pattern Recognition Letters, vol.26. issue 9, pp.1377-1385.
  6. Bock H. H. and Diday E., 1999. Analysis of symbolic data, Springer Verilag publication.
  7. Guru D.S. and H. S. Nagendraswamy, 2006. Symbolic representation of two-dimensional shapes. Pattern Recognition Letters, vol.28, pp.144-155.
  8. Prakash H.N. and D.S. Guru. 2009. Relative orientations of Geometric Centroids for Offline Signature Verification, International conference on advanced pattern recognition, (ICAPR-2009), ISI, Kolkata, India, pp. 201- 204.
  9. Prakash H.N. and D.S. Guru, 2009. Geometric Centroids and their Relative Distances for Offline Signature Verification. International Conference Document Analysis and Recognition, (ICDAR-2009), Barcelona, Spain. IEEE, 121-125.
  10. Aguilar J. F., Krawczyk S, Garcia J. O. and Anil k. Jain, 2005. Fusion of Local and Regional Approaches for On-line Signature Verification, International Workshop on Biometric Recognition System (IWBRS), LNCS 3781, pp.188-196, Springer Verlag. Berlin, Heidelberg.
  11. Guru D.S. and H.N. Prakash, 2009. On-line signature verification and recognition: An approach based on symbolic representation. IEEE transactions on pattern analysis and machine intelligence, vol. 31, no. 6, pp.1059-1073.
  12. Otsu N., 1994, A threshold selection method from grey level histogram. IEEE Transactions on Systems, Man and Cybernetics, vol. 9, pp.62-66.
  13. Kalera M.K., Surgur Srihari and Aihua Xu, 2004. Offline Signature verification and identification using distance statistics. International Journal of Pattern Recognition and Artificial Intelligence. vol. 18, no.7, pp. 1339-1360.
  14. Srihari S.N., Aihua Xu and M.K. Kalera, 2004. Learning strategies and classification methods for offline signature verification. Proceedings of 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR), Tokyo, Japan ,2004, IEEE, Computer society Press, pp. 161-166.
  15. Fang B. and Yaun Yan Tang, 2005. Improved class statistics estimation for sparse data Problems in Offline signature verification. IEEE Transactions on Systems, Man and Cybernetics, vol. 35, no. 3, pp.276-286.
  16. Fang B., Leung C. H.,Tang Y. Y., Tse K. W, Kwok P. C. K and Wong Y. K.,2003. Offline signature verification by tracking of feature and stroke position. Pattern Recognition, 2003, vol. 36, pp.91-101.
  17. Mahji B., Y. Santhosh Reddy. D. Prasanna Babu. 2006. Novel features for offline signature verification, International journal of Computers and Control, vol. 1, 2006, pp. 17-24.
Index Terms

Computer Science
Information Sciences

Keywords

Offline signature verification Distance and orientation features Score level fusion Bi-interval valued symbolic feature vector Geometric centroids

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